Clyro
Clyro provides runtime governance to keep AI agents reliable and controlled during production use.
FreemiumProductivity
Visit website Free to browse · updated 2026-06-30
What is Clyro?
Clyro integrates directly with agent code to apply preventive measures before issues escalate. Its core components evaluate policies on tool calls, log all actions in an append-only format, detect repeated execution patterns, and track accumulated costs per session. The system supports multiple agent frameworks through simple wrappers that activate controls without requiring changes to the underlying logic. This approach maintains traceability of decisions while keeping agent behavior within defined boundaries. Developers can configure rules in structured formats and apply them uniformly to ensure consistent oversight during execution.
Key features
Real-time monitoring and control of AI agents
Loop detection to prevent runaway executions
Cost capping and per-session budget enforcement
Policy evaluation and runtime action guardrails
Context validation and memory isolation controls
Append-only audit logging of all tool calls
One-line integration with LangGraph, CrewAI, Claude Agent SDK and Anthropic SDK
What you can use Clyro for
Preventing Runaway Agent Loops
Clyro detects repeated tool call patterns in real time and halts executions before API costs escalate, using signature matching to identify loops within a sliding window of calls.
Enforcing Policy-Based Action Guardrails
Runtime policy evaluation blocks agent actions that violate business rules, such as unauthorized refunds or incorrect order modifications, before they reach external systems.
Maintaining Context Integrity and Memory Isolation
Context validation and memory controls ensure agents operate with fresh, schema-enforced data while preventing cross-user memory leakage during multi-session interactions.
How to use Clyro
- 1Install Clyro with pip install clyro
- 2Import the library and create a ClyroConfig object
- 3Wrap your existing agent using clyro.wrap
- 4Define execution controls such as max_steps and policy rules
- 5Invoke the wrapped agent and review audit logs
Clyro pricing
Pricing model: Freemium. Plan details are indicative — check the site for current prices.
Free
Free
- 5 agents
- 100K traces/month
- No credit card required
Editor's verdict
Pros
- +Prevents costly failures like runaway loops before they escalate
- +Easy wrap-any-agent integration without code changes
- +Free tier available with no credit card required
Cons
- –Python-only SDK integration
- –Free tier limited to 5 agents and 100K traces per month
Our take: Clyro is a solid productivity choice. It's valued for prevents costly failures like runaway loops before they escalate and easy wrap-any-agent integration without code changes. The main trade-off is python-only sdk integration. A good pick if you want capable AI without a high upfront cost.
Frequently asked questions
Clyro provides a governance layer that monitors and controls AI agents at runtime to catch loops, enforce budgets, and apply policy guardrails without altering existing agent code.
Summary
Clyro is a solid productivity choice. It's valued for prevents costly failures like runaway loops before they escalate and easy wrap-any-agent integration without code changes. The main trade-off is python-only sdk integration. A good pick if you want capable AI without a high upfront cost.
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